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當(dāng)前位置: 首頁(yè) JCRQ3 期刊介紹(非官網(wǎng))
Japanese Journal Of Statistics And Data Science

Japanese Journal Of Statistics And Data ScienceSCIE

國(guó)際簡(jiǎn)稱:JPN J STAT DATA SCI  參考譯名:日本統(tǒng)計(jì)與數(shù)據(jù)科學(xué)雜志

  • CiteScore分區(qū)

    Q2

  • JCR分區(qū)

    Q3

基本信息:
ISSN:2520-8756
E-ISSN:2520-8764
是否OA:未開放
是否預(yù)警:否
出版信息:
出版商:Springer Nature
出版語言:English
研究方向:STATISTICS & PROBABILITY
評(píng)價(jià)信息:
影響因子:1.1
CiteScore指數(shù):2
SJR指數(shù):0.34
SNIP指數(shù):1.29
發(fā)文數(shù)據(jù):
Gold OA文章占比:28.79%
研究類文章占比:100.00%
年發(fā)文量:45
英文簡(jiǎn)介 期刊介紹 CiteScore數(shù)據(jù) JCR分區(qū) 常見問題

英文簡(jiǎn)介Japanese Journal Of Statistics And Data Science期刊介紹

The Japanese Journal of Statistics and Data Science is an international academic journal dedicated to the fields of statistics and data science. This journal aims to publish original research articles in statistical methodology, data analysis, machine learning, biostatistics, computational statistics, and other fields. It provides a platform for statisticians, data scientists, researchers, and students to exchange the latest research findings and methodologies. By publishing high-quality research, we aim to promote the theoretical development and applied research in the fields of statistics and data science.

The academic influence of this journal is reflected in the fact that its published research can make positive contributions to the fields of statistics and data science. The target audience includes statisticians, data scientists, economists, biologists, engineers, and other professionals who use statistical methods for research. In addition, the journal also attracts scholars and students interested in education and training in statistics and data science.

期刊簡(jiǎn)介Japanese Journal Of Statistics And Data Science期刊介紹

《Japanese Journal Of Statistics And Data Science》該刊近一年未被列入預(yù)警期刊名單,目前已被權(quán)威數(shù)據(jù)庫(kù)SCIE收錄,得到了廣泛的認(rèn)可。

該期刊投稿重要關(guān)注點(diǎn):

  • 預(yù)計(jì)審稿時(shí)間:
  • SCIE
  • 非預(yù)警

Cite Score數(shù)據(jù)(2024年最新版)Japanese Journal Of Statistics And Data Science Cite Score數(shù)據(jù)

  • CiteScore:2
  • SJR:0.336
  • SNIP:1.29
學(xué)科類別 分區(qū) 排名 百分位
大類:Mathematics 小類:Statistics and Probability Q2 135 / 278

51%

大類:Mathematics 小類:Computational Theory and Mathematics Q3 108 / 176

38%

CiteScore 是由Elsevier(愛思唯爾)推出的另一種評(píng)價(jià)期刊影響力的文獻(xiàn)計(jì)量指標(biāo)。反映出一家期刊近期發(fā)表論文的年篇均引用次數(shù)。CiteScore以Scopus數(shù)據(jù)庫(kù)中收集的引文為基礎(chǔ),針對(duì)的是前四年發(fā)表的論文的引文。CiteScore的意義在于,它可以為學(xué)術(shù)界提供一種新的、更全面、更客觀地評(píng)價(jià)期刊影響力的方法,而不僅僅是通過影響因子(IF)這一單一指標(biāo)來評(píng)價(jià)。

歷年Cite Score趨勢(shì)圖

JCR分區(qū)Japanese Journal Of Statistics And Data Science JCR分區(qū)

2023-2024 年最新版
按JIF指標(biāo)學(xué)科分區(qū) 收錄子集 分區(qū) 排名 百分位
學(xué)科:STATISTICS & PROBABILITY ESCI Q3 85 / 168

49.7%

按JCI指標(biāo)學(xué)科分區(qū) 收錄子集 分區(qū) 排名 百分位
學(xué)科:STATISTICS & PROBABILITY ESCI Q2 58 / 168

65.77%

JCR分區(qū)的優(yōu)勢(shì)在于它可以幫助讀者對(duì)學(xué)術(shù)文獻(xiàn)質(zhì)量進(jìn)行評(píng)估。不同學(xué)科的文章引用量可能存在較大的差異,此時(shí)單獨(dú)依靠影響因子(IF)評(píng)價(jià)期刊的質(zhì)量可能是存在一定問題的。因此,JCR將期刊按照學(xué)科門類和影響因子分為不同的分區(qū),這樣讀者可以根據(jù)自己的研究領(lǐng)域和需求選擇合適的期刊。

歷年影響因子趨勢(shì)圖

投稿常見問題